IEEE Transactions on Signal Processing
Symbol Error Rate of MIMO MRC Systems over Time-Varying Fading Channels
Wireless Personal Communications: An International Journal
Experimental Study on the Capacity of Compact MIMO Antennas for Portable Terminals
Wireless Personal Communications: An International Journal
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
Writing on dirty paper (Corresp.)
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
A close-to-capacity dirty paper coding scheme
IEEE Transactions on Information Theory
Superposition coding for side-information channels
IEEE Transactions on Information Theory
The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel
IEEE Transactions on Information Theory
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Based on the one-dimensional dirty paper coding (DPC) system, a low complexity algorithm is proposed to calculate log likelihood ratios (LLRs) for multi-level quadrature amplitude modulation (M 驴 QAM). The M 驴 QAM constellation is split into the in-phase and quadrature $${\sqrt{M}-PAM}$$ signal of mutual independence, and the LLR value of each bit is calculated on the expanded $${\sqrt{M}-PAM}$$ constellation. For both the complete interference pre-subtraction and partial interference pre-subtraction schemes, accurate LLR values can be obtained using the proposed simplified algorithm. The proposed algorithm is applied to the one-dimensional DPC system using convolutional code and low density parity check code respectively. Simulation results indicate that the bit error rate performance is almost not lost with the simplified algorithm while the computational complexity is reduced significantly.